How do you manage reputation when AI generates false crisis narratives?

False AI-generated crisis narratives are a category that did not exist three years ago and now appears regularly. The pattern: an AI engine begins confidently asserting something incorrect about a company – an executive who never worked there, a regulatory action that did not happen, a financial event with wrong facts – and stakeholders begin acting on the false claim. AIQ topics get spun up on the specific false claim across all eight engines so the spread is tracked and the source attribution is visible. The source attribution typically points to one or two specific inputs the engines are weighting – a poorly cited Wikipedia paragraph, an outdated press article, a quoted comment in a podcast transcript. Authoritative correction goes on those source inputs and on owned properties at the level of authority the engines weight. Where the AI provider offers a formal remediation channel (OpenAI, Google, Anthropic all have variants), we use it. The combination usually moves the engines over weeks. This work is one of the highest-leverage categories of reputation work right now.